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传达有关潜在药物危害和益处的信息:数字传达了什么要点?

Communicating information concerning potential medication harms and benefits: What gist do numbers convey?

作者信息

Blalock Susan J, Sage Adam, Bitonti Michael, Patel Payal, Dickinson Rebecca, Knapp Peter

机构信息

Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, United States.

Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, United States.

出版信息

Patient Educ Couns. 2016 Dec;99(12):1964-1970. doi: 10.1016/j.pec.2016.07.022. Epub 2016 Jul 15.

Abstract

OBJECTIVES

Fuzzy trace theory was used to examine the effect of information concerning medication benefits and side-effects on willingness to use a hypothetical medication.

METHODS

Participants (N=999) were recruited via Amazon Mechanical Turk. Using 3×5 experimental research design, each participant viewed information about medication side effects in 1 of 3 formats and information about medication benefits in 1 of 5 formats. For both side-effects and benefits, one format presented only non-numeric information and the remaining formats presented numeric information.

RESULTS

Individuals in the non-numeric side-effect condition were less likely to take the medication than those in the numeric conditions (p<0.0001). In contrast, individuals in the non-numeric benefit condition were more likely to take the medication than those in the numeric conditions (p<0.0001).

CONCLUSIONS

Our findings suggest that non-numeric side-effect information conveys the gist that the medication can cause harm, decreasing willingness to use the medication; whereas non-numeric benefit information has the opposite effect.

PRACTICE IMPLICATIONS

Presenting side-effect and benefit information in non-numeric format appears to bias decision-making in opposite directions. Providing numeric information for both benefits and side-effects may enhance decision-making. However, providing numeric benefit information may decrease adherence, creating ethical dilemmas for providers.

摘要

目的

运用模糊痕迹理论检验有关药物益处和副作用的信息对使用一种假设药物的意愿的影响。

方法

通过亚马逊土耳其机器人招募参与者(N = 999)。采用3×5实验研究设计,每位参与者以3种格式中的1种查看有关药物副作用的信息,并以5种格式中的1种查看有关药物益处的信息。对于副作用和益处,一种格式仅呈现非数字信息,其余格式呈现数字信息。

结果

处于非数字副作用条件下的个体比处于数字条件下的个体服用该药物的可能性更小(p<0.0001)。相比之下,处于非数字益处条件下的个体比处于数字条件下的个体服用该药物的可能性更大(p<0.0001)。

结论

我们的研究结果表明,非数字副作用信息传达了药物可能造成伤害的要点,降低了使用该药物的意愿;而非数字益处信息则有相反的效果。

实践意义

以非数字格式呈现副作用和益处信息似乎会使决策产生相反方向的偏差。为益处和副作用都提供数字信息可能会增强决策。然而,提供数字益处信息可能会降低依从性,给医疗服务提供者带来伦理困境。

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